Modeling scenes in videos using spectral similarity

Image analysis – Image transformation or preprocessing – Fourier transform

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S103000, C324S076210, C372S022000

Reexamination Certificate

active

07415164

ABSTRACT:
A computer implemented method models a scene in a video acquired by a camera. For each pixel in each frame of the video, a time series of intensities of the pixel is acquired. A harmonic series is extracted from samples of each time series using a sliding window. Distances between the harmonic series are measured. The distances are an estimate of spectral components in an autocorrelation function of underlying dynamic processes in the scene.

REFERENCES:
patent: 5565764 (1996-10-01), Priebe et al.
patent: 6312382 (2001-11-01), Mucci et al.
patent: 6315730 (2001-11-01), Hoff et al.
patent: 6542619 (2003-04-01), Jafarkhani et al.
patent: 6683691 (2004-01-01), Grunwald et al.
patent: 6910011 (2005-06-01), Zakarauskas
patent: 6987785 (2006-01-01), Sakata et al.
Ross Cutler and Larry S. Davis. Robust real-time periodic motion detection, analysis, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):781-796, Aug. 2000.
Dominique Dahay and H. L. Hurd. Representation and estimation for periodically and almost periodically correlated random processes. In W.A. Gardner, editor, Cyclostationarity in Communications and Signal Processing. IEEE Press, 1993. http://citeseer.ist.psu.edu/33031.html.
Ismail Haritaoglu, David Harwood, and Larry S. Davis. w4: Who? when? where? what? In Processings of FG'98, Nara, Japan, Apr. 1998. IEEE.
Fang Liu and Rosalind W. Picard. Finding periodicity in space and time. In International Conference on Computer Vision. Narosa Publishing House, 1998. Also MIT Media Lab PerCom #435.
Zongyi Liu and S. Sarkar. Challenges in segmentation of human forms in outdoor video. In Perceptual Organization in Computer Vision. IEEE, Jun. 2004.
Ramprasad Polana and Randal Nelson. Detecting activities. In Computer Vision and Pattern Recognition, New York, NY, Jun. 1993. IEEE.
Lisa Spencer and Mubarak Shah. Water video analysis. In International Conference on Image Processing, Singapore, Oct. 2004. IEEE.
Chris Stauffer and W.E.L. Grimson. Adaptive background mixture models for real-time tracking. In Computer Vision and Pattern Recognition, vol. 2, Fort Collins, Colorado, Jun. 1999.
Christopher Wren, Ali Azarbayejani, Trevor Darrell, and Alex Pentland. Pfinder: Real-time tracking of the human body. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):780-785, Jul. 1997.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Modeling scenes in videos using spectral similarity does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Modeling scenes in videos using spectral similarity, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modeling scenes in videos using spectral similarity will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4017295

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.